FLUX1.1 [pro] is a new image generation model with inference speed increased sixfold compared to the previous FLUX.1 [pro]. It also features enhanced generation quality and greater accuracy in following prompts.
Primarily supports English but can handle prompts in multiple languages, broadening its usability.
FLUX 1.1 [Pro] employs a hybrid architecture that combines multimodal and parallel diffusion transformer blocks, scaled to 12 billion parameters.
Key architectural innovations include:
The model has been trained on a diverse dataset comprising millions of images from various domains. While specific details about dataset size are proprietary, it is designed to minimize biases and enhance robustness across different contexts.
The model's knowledge is current as of October 2024.
FLUX 1.1 [Pro] aims to reduce bias through its varied dataset.
In terms of quality, FLUX1.1 [pro] leads with the highest score, offering top-tier image quality, followed by FLUX1 [pro]. DALLE 3 ranks lower but remains a strong general-purpose option, while Stable Diffusion 3 and XL 1.0 models, though positioned lower, may appeal to users prioritizing customization and flexibility over pure image quality.
Regarding the generation time, FLUX1 [schnell] is the clear choice, followed by FLUX1 [dev]. FLUX1.1 [pro] provides a middle ground in performance such as 4.5 seconds per image, which is still relatively fast and suitable for users who prioritize image quality over speed.
Get Flux.1 [schnell] for FREE in our Playground.
Compared to earlier versions like FLUX1 [pro], the new FLUX1.1 [pro] is significantly faster—almost four times quicker. According to official sources, FLUX1.1 [pro] can even reach speeds up to six times faster than its predecessor.
The model is available on the AI/ML API platform as "flux-pro/v1.1" .
Detailed API Documentation is available here.
Black Forest Labs emphasizes ethical considerations in AI development, focusing on responsible usage of generated content while ensuring compliance with licensing agreements and promoting transparency in AI-generated outputs.
FLUX 1.1 [Pro] is available under a commercial license, allowing both commercial and non-commercial usage rights with specific restrictions outlined in the licensing agreement.
Try Flux 1.1 [Pro] API here.
import requests r = requests.post( "https://api.aimlapi.com/v1/images/generations", headers={"Authorization": "Bearer " + AIMLAPI_KEY}, json={ "model": "blackforestlabs/flux-pro-1.1", "prompt": "A cat holding a sign that says hello" }, ) print(r.json())
const r = await fetch("https://api.aimlapi.com/v1/images/generations", { method: "POST", headers: { Authorization: `Bearer ${process.env.AIMLAPI_KEY}`, "Content-Type": "application/json", }, body: JSON.stringify({ "model": "blackforestlabs/flux-pro-1.1", "prompt": "A cat holding a sign that says hello" }), }); console.log(await r.json());
curl -X POST https://api.aimlapi.com/v1/images/generations \ -H "Authorization: Bearer $AIMLAPI_KEY" \ -H "Content-Type: application/json" \ -d '{"model":"blackforestlabs/flux-pro-1.1","prompt":"A cat holding a sign that says hello"}'
OpenAI-compatible — swap the base URL and it works with your existing SDK.
| Type | Price |
|---|---|
| Input | |
| Output | |
| Model | Input | Output | Context | Best for |
|---|---|---|---|---|
Flux pro 1.1 This page | Image generation at scale | |||
| Image generation at scale | ||||
| Image generation at scale | ||||
| Image generation at scale | ||||
| Image generation at scale |
Flux pro 1.1 takes image, text as input and returns image.
Flux pro 1.1 became available on June 12, 2026.
Flux pro 1.1 is priced at $0.052 / gen (variable).
Flux pro 1.1 is billed per generation — a fixed charge per output rather than by prompt length.
Yes, Flux pro 1.1 accepts image input as well as a text prompt.
Flux pro 1.1 was built by Black Forest Labs.
Send a request to https://api.aimlapi.com/v1/images/generations with blackforestlabs/flux-pro-1.1 as the model id.
Yes. Flux pro 1.1 is served through AI/ML API, so the same key and endpoint format used for other models applies.
